درباره این اپیزود
The Co-founder and CTO of Memgraph, Marko Budiselić, joins us to talk all things knowledge graphs, evaluation metrics for AI, and whether or not AI can be considered AGI if it's not a cyber-physical system. Topics: 0:00:00 Intros 0:04:10 "Knowledge" vs. "Data" 0:07:15 Lateral thinking and interpretation 0:10:48 Datastores, Databases, Data Lakes, and Data Warehouses 0:13:55 "Knowledge graph" is an abstract term 0:17:10 Building a knowledge graph database from scratch 0:19:43 The quest for speed 0:23:15 Zero to MVP 0:26:50 There was always noise 0:29:20 Is legal actually a good use case for AI? 0:32:33 LLMs make everyone a developer 0:37:13 Things never work out the way you think they will 0:42:06 So many metrics 0:47:03 Cracking open the "black box" 0:50:04 Lawyers and engineers agree! 0:53:42 LLM efficiency gains are a given 0:56:56 AGI has been 3 months away for decades 🔗 Memgraph Links: ➡️ Website: https://memgraph.com
➡️ GitHub: https://github.com/memgraph/memgraph
➡️ Discord: https://discord.gg/memgraph
➡️ LinkedIn: https://www.linkedin.com/company/memgraph 🔗 TrustGraph Links: ➡️ GitHub: https://github.com/trustgraph-ai/trustgraph ➡️ TrustGraph Config UI: https://config-ui.demo.trustgraph.ai/ ➡️ Website: https://trustgraph.ai/ ➡️ Discord: https://discord.gg/sQMwkRz5GX ➡️ Blog: https://blog.trustgraph.ai ➡️ LinkedIn: https://www.linkedin.com/company/trustgraph/
